PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?article WHERE {
  ?article wdt:P1433 wd:Q15817086 .
  FILTER NOT EXISTS {
    ?article rdfs:label ?label .
    FILTER ( LANG( ?label ) = 'en' )
  }
}

The article with the identifier `wd:Q102354418` does not have an English label.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which scholarly articles published in the journal Geosphere do not have an English label?

[Assistant] To answer this question, we need to identify the journal "Geosphere" and then find scholarly articles that are published in it. Additionally, we need to filter out those articles that do not have an English label. Let's start by searching for the journal "Geosphere" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. magazine, also known as serial, quarterly, journal, glossy, magazines (wd:Q41298): publication that is typically distributed at a regular interval
2. magazine, also known as glossy, journal, serial, magazines, quarterly (wd:Q41298): publication that is typically distributed at a regular interval
3. diary, also known as diaries, journal, journaling (wd:Q185598): personal written record with discrete entries arranged by date
4. scientific journal, also known as journal, journals, science journal, scientific journals, scientific magazine (wd:Q5633421): periodical journal publishing scientific research
5. geosphere (wd:Q241284): collective name for the lithosphere, the hydrosphere, the cryosphere, and the atmosphere
6. academic journal, also known as academic review, journal, learned journal, peer-reviewed journal, refereed journal (wd:Q737498): peer-reviewed periodical relating to an academic discipline
7. general journal, also known as day book, daybook, journal, subsidiary journal (wd:Q608971): volume used in bookkeeping containing daily records of receipts and expenditures in the order of their occurrence
8. transaction log, also known as transaction journal, Logging and Recovery, database journal, journal, filesystem journal (wd:Q948454): record of changes made to stored data by a database management s..., which can be rolled back to implement transactional guarantees
9. journal (wd:Q49850): written medium (duplicate item)
10. Goncourt Journal, also known as Journal (wd:Q19176092)

[Assistant] From the search results, the most relevant entity for the journal "Geosphere" is "scientific journal" (wd:Q5633421). However, we need to verify if this is indeed the correct entity for the specific journal "Geosphere". Let's list the triples for this entity to see if it has any information that confirms it is the journal "Geosphere".

[Tool]
Got 427 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                              | object                                                                                |
| -------------------------------- | ------------------------------------- | -------------------------------------------------------------------------------------------------------------- |
| scientific journal (wd:Q5633421) | instance of (wdt:P31)                 | magazine genre (wd:Q21114848)                                                                                |
| scientific journal (wd:Q5633421) | Commons category (wdt:P373)           | Scientific journals                                                                                |
| scientific journal (wd:Q5633421) | image (wdt:P18)                       | <http://commons.wikimedia.org/wiki/Special:FilePath/Vitoria-University-Library-food-science-journals-4489.jpg> |
| scientific journal (wd:Q5633421) | subclass of (wdt:P279)                | scientific publication (wd:Q591041)                                                                            |
| scientific journal (wd:Q5633421) | different from (wdt:P1889)            | academic journal (wd:Q737498)                                                                                |
| scientific journal (wd:Q5633421) | maintained by WikiProject (wdt:P6104) | WikiProject Academic Journals (wd:Q21597731)                                                                   |
| scientific journal (wd:Q5633421) | topic's main category (wdt:P910)      | wd:Q7452853                                                                                |
| scientific journal (wd:Q5633421) | has part(s) of the class (wdt:P2670)  | scholarly article (wd:Q13442814)                                                                               |
| scientific journal (wd:Q5633421) | uses (wdt:P2283)                      | peer review (wd:Q215028)                                                                                |
| scientific journal (wd:Q5633421) | has list (wdt:P2354)                  | wd:Q3245023                                                                                |
| ...                              | ...                                   | ...                                                                                |

[Assistant]
The entity `wd:Q5633421` represents the general concept of a scientific journal, not the specific journal "Geosphere". We need to search for the specific journal "Geosphere" again to find the correct entity.

Let's try searching for "Geosphere journal" again to find the specific entity.

[Tool]
Top 10 entity alternatives:
1. magazine, also known as serial, quarterly, journal, glossy, magazines (wd:Q41298): publication that is typically distributed at a regular interval
2. magazine, also known as glossy, journal, serial, magazines, quarterly (wd:Q41298): publication that is typically distributed at a regular interval
3. diary, also known as diaries, journal, journaling (wd:Q185598): personal written record with discrete entries arranged by date
4. scientific journal, also known as journal, journals, science journal, scientific journals, scientific magazine (wd:Q5633421): periodical journal publishing scientific research
5. geosphere (wd:Q241284): collective name for the lithosphere, the hydrosphere, the cryosphere, and the atmosphere
6. academic journal, also known as academic review, journal, learned journal, peer-reviewed journal, refereed journal (wd:Q737498): peer-reviewed periodical relating to an academic discipline
7. general journal, also known as day book, daybook, journal, subsidiary journal (wd:Q608971): volume used in bookkeeping containing daily records of receipts and expenditures in the order of their occurrence
8. transaction log, also known as transaction journal, Logging and Recovery, database journal, journal, filesystem journal (wd:Q948454): record of changes made to stored data by a database management s..., which can be rolled back to implement transactional guarantees
9. journal (wd:Q49850): written medium (duplicate item)
10. Goncourt Journal, also known as Journal (wd:Q19176092)

[Assistant] It seems that the specific journal "Geosphere" is not among the top results. Let's try a more targeted search by including the full name "Geosphere (journal)" to see if we can find the correct entity.

[Tool]
Top 10 entity alternatives:
1. magazine, also known as serial, quarterly, journal, glossy, magazines (wd:Q41298): publication that is typically distributed at a regular interval
2. magazine, also known as glossy, journal, serial, magazines, quarterly (wd:Q41298): publication that is typically distributed at a regular interval
3. diary, also known as diaries, journal, journaling (wd:Q185598): personal written record with discrete entries arranged by date
4. scientific journal, also known as journal, journals, science journal, scientific journals, scientific magazine (wd:Q5633421): periodical journal publishing scientific research
5. geosphere (wd:Q241284): collective name for the lithosphere, the hydrosphere, the cryosphere, and the atmosphere
6. academic journal, also known as academic review, journal, learned journal, peer-reviewed journal, refereed journal (wd:Q737498): peer-reviewed periodical relating to an academic discipline
7. general journal, also known as day book, daybook, journal, subsidiary journal (wd:Q608971): volume used in bookkeeping containing daily records of receipts and expenditures in the order of their occurrence
8. transaction log, also known as transaction journal, Logging and Recovery, database journal, journal, filesystem journal (wd:Q948454): record of changes made to stored data by a database management s..., which can be rolled back to implement transactional guarantees
9. journal (wd:Q49850): written medium (duplicate item)
10. Goncourt Journal, also known as Journal (wd:Q19176092)

[Assistant]
It appears that the specific journal "Geosphere" is not appearing in the search results. Let's try a different approach by searching for "Geosphere" and then filtering the results to find the journal.

Let's search for "Geosphere" and then look for the entity that is a scientific journal.

[Tool]
Top 10 entity alternatives:
1. geosphere (wd:Q241284): collective name for the lithosphere, the hydrosphere, the cryosphere, and the atmosphere
2. Geosphere (wd:Q15817086): journal
3. geosphere (wd:L34735-F1)
4. geosphere (wd:L34735)
5. geosphere (wd:L1160508-S1)
6. GeoSphere Austria (wd:Q116189368): meteorological service of Austria (since 2023)
7. geospheres (wd:L34735-F2)
8. interacting geosphere (wd:L34741-S1)
9. ENWEST GEOSPHERE──ANTHROPOSPHE (wd:Q98517768): article published in 1997
10. Sun and Geosphere, also known as Sun and geosphere: the internati...nal of research and applications (wd:Q131312884): scientific journal

[Assistant] From the search results, the entity `wd:Q15817086` is labeled as "Geosphere" and is described as a journal. This is likely the specific journal "Geosphere" we are looking for. Let's confirm this by listing the triples for this entity to ensure it is indeed the journal "Geosphere".

[Tool]
Got 112 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                            | object                                                   |
| ------------------------ | ----------------------------------- | -------------------------------------------------------- |
| Geosphere (wd:Q15817086) | instance of (wdt:P31)               | scientific journal (wd:Q5633421)                         |
| Geosphere (wd:Q15817086) | title (wdt:P1476)                   | Geosphere                                                |
| Geosphere (wd:Q15817086) | main subject (wdt:P921)             | geology (wd:Q1069)                                       |
| Geosphere (wd:Q15817086) | language of work or name (wdt:P407) | English (wd:Q1860)                                       |
| Geosphere (wd:Q15817086) | country (wdt:P17)                   | United States (wd:Q30)                                   |
| Geosphere (wd:Q15817086) | copyright status (wdt:P6216)        | copyrighted (wd:Q50423863)                               |
| Geosphere (wd:Q15817086) | copyright license (wdt:P275)        | Creative Commons Attribution-NonCommercial (wd:Q6936496) |
| Geosphere (wd:Q15817086) | country of origin (wdt:P495)        | United States (wd:Q30)                                   |
| Geosphere (wd:Q15817086) | official website (wdt:P856)         | <http://bibpurl.oclc.org/web/90489>                      |
| Geosphere (wd:Q15817086) | publisher (wdt:P123)                | Geological Society of America (wd:Q1503216)              |
| ...                      | ...                                 | ...                                                      |

[Assistant]
The entity `wd:Q15817086` is indeed the journal "Geosphere". It is a scientific journal published in English by the Geological Society of America.

Next, we need to find the scholarly articles published in this journal and filter out those that do not have an English label. Let's start by finding the articles published in this journal.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the property `wdt:P577` (publication date) is not the correct property to find articles published in the journal. Instead, we should use the property `wdt:P1433` (published in) to find articles published in the journal "Geosphere".

Let's modify the query to use `wdt:P1433` and find the articles published in the journal "Geosphere".

[Tool]
Got 10 rows and 1 column:
| ?article                                                                            |
| ----------------------------------------------------------------------------------- |
| Geophysical characterization of ...n Mojave Desert, California, USA (wd:Q100252682) |
| Northward migration of the Oregon forearc on the Gales Creek fault (wd:Q100252683)  |
| Morphology, structure, and kinem...ner Continental Borderland (USA) (wd:Q100252684) |
| Magma-driven, high-grade metamor...f Fennoscandian Shield evolution (wd:Q100678295) |
| Interplay of Cretaceous transpre..., central Fiordland, New Zealand (wd:Q100871353) |
| Detrital zircon resolve longevit... from the East Fjords of Iceland (wd:Q100871368) |
| Thermochronology of extensional ...e in the deep crust of Zealandia (wd:Q100871385) |
| Incremental assembly and prolong...rn Rocky Mountain volcanic field (wd:Q101011259) |
| Intrusive history and petrogenes...vada batholith, California (USA) (wd:Q101011267) |
| New constraints on the magma dis...iplano from magnetotelluric data (wd:Q101011270) |

[Assistant]
We have successfully found some articles published in the journal "Geosphere". Now, we need to filter out those articles that do not have an English label. To do this, we will check if the articles have an `rdfs:label` in English.

Let's modify the query to include this filter.

[Tool]
Got 1 row and 1 column:
| ?article      |
| ------------- |
| wd:Q102354418 |

[Assistant]
The query has returned one article published in the journal "Geosphere" that does not have an English label.

Let's finalize the SPARQL query and provide the answer to the user question.

Here is the final SPARQL query:

```sparql
SELECT ?article WHERE {
  ?article wdt:P1433 wd:Q15817086 .
  FILTER NOT EXISTS { ?article rdfs:label ?label . FILTER(LANG(?label) = 'en') }
}
```

The answer to the question is that the article with the identifier `wd:Q102354418` does not have an English label.

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?person ?eloRating ?dateOfBirth WHERE {
  ?person wdt:P1087 ?eloRating .
  ?person wdt:P569 ?dateOfBirth .
  ?ratingStatement ps:P1087 ?eloRating .
  ?ratingStatement pq:P585 "2007-04-01" ^^ xsd:dateTime .
  BIND( YEAR( ?dateOfBirth ) AS ?yearOfBirth ) FILTER ( ?eloRating = ?yearOfBirth )
}

There are no individuals who had an Elo rating in April 2007 that exactly matches their year of birth.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which individuals had an Elo rating in April 2007 that is exactly their year of birth, and what were their Elo ratings and dates of birth?

[Assistant]
To answer this question, we need to identify the relevant properties for Elo rating and date of birth, and then construct a query that filters for individuals who meet the criteria of having an Elo rating in April 2007 that matches their year of birth. Let's start by searching for the properties related to Elo rating and date of birth.

First, I will search for the property "Elo rating" and "date of birth" in the Wikidata knowledge graph.

[Tool]
Top 10 property alternatives:
1. Elo rating (wd:P1087 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): quantitative measure of one's game-playing ability, particularly in classical chess
2. review score, also known as rating (score), review rating (wd:P444 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): review score received by a creative work or other entity
3. rating (wd:P4271 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): qualifier to indicate a score given by the referenced source indicating the quality or completeness of the statement
4. number of reviews/ratings, also known as number of reviews, ratings, reviews, number of ratings (wd:P7887 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): qualifier on review score to state the number of user reviews, user ratings or critic reviews
5. dan/kyu rank, also known as go rank, wushu rank, shogi rank, renju rank, kendo rank (wd:P468 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): rank system used in several board games (e.g. go, shogi, renju), martial arts (e.g. judo, kendo, wushu) and some other games
6. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): subject's ordinal position as qualitatively evaluated relative to other members of a group
7. score method, also known as scoring system, score type, scoring metric, scoring method, score system (wd:P1443 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): qualifier of "points/goal scored by (P1363)"
8. league level above, also known as level above (league), promotion to (wd:P2499 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the league above this sports league, next higher rank
9. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
10. military or police rank, also known as military rank, naval rank, police rank, rank (wd:P410 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): military or police rank achieved by a person (should usually hav...ualifier), or military or police rank associated with a position

[Tool]
Top 10 property alternatives:
1. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): date on which the subject was born, inception
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): most specific known birth location of a person, animal or fictional character, location
3. birthday, also known as b-day, bday, birth day (wd:P3150 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the object is a country that recognizes the subject as its citizen, country
5. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): what the place, monument, memorial, or holiday, commemorates, main subject
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): full name of a person at birth, if different from their current, generally used name, name
7. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): dissolved, abolished or demolished date, date on which the subject died, end time
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): time when an entity begins to exist; for date of official opening use P1619, start time
9. website username or ID, also known as user name, website username, website ID, username in social media, username (wd:P554 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): username or identifier on a website that the person or movement ... account on, for use as qualifier of "website account on" (P553)
10. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): alias used by someone (for nickname use P1449), name

[Assistant]
From the search results, we can see that the property for "Elo rating" is `wd:P1087` and the property for "date of birth" is `wd:P569`.

Next, we need to construct a SPARQL query to find individuals who have an Elo rating in April 2007 that matches their year of birth. We will use the `wdt:P1087` property for Elo rating and `wdt:P569` for date of birth. Additionally, we need to filter the results to ensure that the Elo rating in April 2007 is exactly the same as the year of birth.

Let's start by writing a basic query to retrieve individuals with both an Elo rating and a date of birth, and then we will add the necessary filters.

[Tool]
Got 10 rows and 3 columns:
| ?person                          | ?eloRating | ?dateOfBirth         |
| -------------------------------- | ---------- | -------------------- |
| Naomi Bashkansky (wd:Q100194836) | 1473       | 2003-01-01T00:00:00Z |
| Naomi Bashkansky (wd:Q100194836) | 1488       | 2003-01-01T00:00:00Z |
| Naomi Bashkansky (wd:Q100194836) | 1505       | 2003-01-01T00:00:00Z |
| Naomi Bashkansky (wd:Q100194836) | 1547       | 2003-01-01T00:00:00Z |
| Naomi Bashkansky (wd:Q100194836) | 1554       | 2003-01-01T00:00:00Z |
| Naomi Bashkansky (wd:Q100194836) | 1569       | 2003-01-01T00:00:00Z |
| Naomi Bashkansky (wd:Q100194836) | 1607       | 2003-01-01T00:00:00Z |
| Naomi Bashkansky (wd:Q100194836) | 1609       | 2003-01-01T00:00:00Z |
| Naomi Bashkansky (wd:Q100194836) | 1695       | 2003-01-01T00:00:00Z |
| Naomi Bashkansky (wd:Q100194836) | 1753       | 2003-01-01T00:00:00Z |

[Assistant]
The initial query returned multiple Elo ratings for the same individual, Naomi Bashkansky, and her date of birth. However, we need to filter the results to only include those where the Elo rating in April 2007 matches the year of birth.

To achieve this, we need to:
1. Ensure the Elo rating is from April 2007.
2. Extract the year from the date of birth.
3. Compare the Elo rating to the year of birth.

Let's modify the query to include these steps.

First, we will use the `pq:P585` property to filter the Elo rating to April 2007. Then, we will extract the year from the date of birth and compare it to the Elo rating.

Here is the updated query:

```sparql
SELECT ?person ?eloRating ?dateOfBirth WHERE {
  ?person wdt:P1087 ?eloRating .
  ?person wdt:P569 ?dateOfBirth .
  ?ratingStatement ps:P1087 ?eloRating .
  ?ratingStatement pq:P585 "2007-04-01"^^xsd:dateTime .
  BIND(YEAR(?dateOfBirth) AS ?yearOfBirth)
  FILTER(?eloRating = ?yearOfBirth)
}
```

Let's execute this query to see the results.

[Tool] Got no rows and 3 columns

[Assistant]
It seems that there are no individuals in the Wikidata knowledge graph who have an Elo rating in April 2007 that exactly matches their year of birth. This could be due to the rarity of such a specific condition or the limitations of the data available in Wikidata.

Since the query did not return any results, we can conclude that there are no such individuals in the dataset. Therefore, the answer to the question is that there are no individuals who meet the criteria.

Let's finalize this with an appropriate response.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?unit ?unitLabel ?partOf ?partOfLabel ?hasPart ?hasPartLabel ?geolexID WHERE {
  ?unit wdt:P31 wd:Q3550897 .
  ?unit wdt:P131 wd:Q816 .
  OPTIONAL {
    ?unit wdt:P361 ?partOf .
  }
  OPTIONAL {
    ?unit wdt:P527 ?hasPart .
  }
  OPTIONAL {
    ?unit wdt:P2367 ?geolexID .
  }
  OPTIONAL {
    ?unit rdfs:label ?unitLabel .
    FILTER ( LANG( ?unitLabel ) = 'en' )
  }
  OPTIONAL {
    ?partOf rdfs:label ?partOfLabel .
    FILTER ( LANG( ?partOfLabel ) = 'en' )
  }
  OPTIONAL {
    ?hasPart rdfs:label ?hasPartLabel .
    FILTER ( LANG( ?hasPartLabel ) = 'en' )
  }
}

The query did not return any results, indicating a lack of data in Wikidata linking lithostratigraphic units to Arizona using the properties we have tried. This suggests that the information might be more readily available in specialized geological databases or other external sources.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the distinct lithostratigraphic units located in Arizona? Please include any parts they have (if available, the larger units they are part of (if available), and their Geolex IDs (if available).

[Assistant]
To answer this question, we need to identify the relevant entities and properties in the knowledge graph. We will start by searching for the entity "Arizona" and then look for properties related to lithostratigraphic units and their parts.

### Step 1: Search for the entity "Arizona"
Let's find the IRI for Arizona.

[Tool]
Top 10 entity alternatives:
1. Arizona, also known as Ariz., US-AZ, The Grand Canyon State, State of Arizona, Grand Canyon State (wd:Q816): state of the United States of America
2. Arizona, also known as Ariz., Arizona, United States, AZ, US-AZ, Grand Canyon State (wd:Q816): state of the United States of America
3. University of Arizona, also known as Arizona, UofA, U of A, Univ. of Az, Univ. of Arizona (wd:Q503419): public university in Tucson, Arizona, United States
4. Arizona (wd:Q2254748): municipality in Atlántida Department, Honduras
5. Arizona (wd:Q670059): 1940 film by Wesley Ruggles
6. Arizona (wd:Q634389): 1918 silent film drama
7. Arizona (wd:Q2861452): 1913 film by Augustus Thomas
8. Arizona, also known as Glossy snake (wd:Q14089080): genus of reptiles
9. Arizona (wd:Q4791227): municipality and village in San Luis, Argentina
10. Arizona, also known as Men Are Like That (wd:Q3196815): 1931 film by George B. Seitz

[Assistant]
The correct entity for Arizona is `wd:Q816`. Now, let's find the properties related to lithostratigraphic units and their parts.

### Step 2: Search for properties related to lithostratigraphic units
We will search for properties that might be used to describe lithostratigraphic units and their parts.

[Tool]
Top 10 property alternatives:
1. geomorphological unit, also known as physiographic unit (wd:P4688 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): topographic or bathymetric feature to which this geographical item belongs, located in/on physical feature
2. statistical unit, also known as describe items of type, statistical designation, unit (wd:P2353 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): member of a dataset; type of statistical designation
3. room number, also known as apartment, room identifier, suite, unit (wd:P7532 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): number or identifier of a room, which can qualify the address (P6375) of a place to complete it
4. recommended unit of measurement, also known as measured in, unit of measurement, unit, standard unit of measurement (wd:P8111 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): unit in which a quantity is measured as recommended by a standard (SI, ISO, IEC, etc.)
5. military unit, also known as member of military unit, unit (wd:P7779 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): smallest military unit that a person is/was in, member of
6. fossil found in this unit (wd:P1137 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): fossils that are found in this stratigraphic unit
7. Australian Stratigraphic Units Database ID (wd:P2367 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for a stratigraphic unit listed in the Australian Stratigraphic Units Database
8. BGS Lexicon of Named Rock Units ID, also known as BGS Lexicon ID (wd:P732 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for a stratigraphic unit given by the British Geological Survey
9. type locality (geology), also known as (co)-type locality (wd:P2695 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the locality where a particular rock type, stratigraphic unit or... species is defined from (can coincide but not the same as p189)
10. derived from base unit, also known as base units, base unit (wd:P12571 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the base unit(s) that this derived unit is derived from

[Assistant]
None of the properties directly mention "lithostratigraphic unit," but we can try to find properties that might be related to geological units. Let's search for properties related to "geological unit" and "stratigraphic unit."

### Step 3: Search for properties related to "geological unit" and "stratigraphic unit"
We will search for these properties to see if they can help us find the relevant information.

[Tool]
Top 10 property alternatives:
1. geomorphological unit, also known as physiographic unit (wd:P4688 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): topographic or bathymetric feature to which this geographical item belongs, located in/on physical feature
2. type locality (geology), also known as (co)-type locality (wd:P2695 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the locality where a particular rock type, stratigraphic unit or... species is defined from (can coincide but not the same as p189)
3. fossil found in this unit (wd:P1137 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): fossils that are found in this stratigraphic unit
4. age estimated by a dating method, also known as stellar age, geological age, dating (wd:P7584 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): estimation of the age of a star, geological feature, fossil or object
5. temporal range end, also known as geologic time frame end, geologic time range end (wd:P524 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the end of a process such as a geological unit or extinction of a life form relative to the geologic time scale, end time
6. temporal range start, also known as geochronologic start, geologic time range start (wd:P523 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the start of a process or appearance of a life form or geological unit relative to the geologic time scale, start time
7. statistical unit, also known as describe items of type, statistical designation, unit (wd:P2353 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): member of a dataset; type of statistical designation
8. military unit, also known as member of military unit, unit (wd:P7779 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): smallest military unit that a person is/was in, member of
9. room number, also known as apartment, room identifier, suite, unit (wd:P7532 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): number or identifier of a room, which can qualify the address (P6375) of a place to complete it
10. recommended unit of measurement, also known as measured in, unit of measurement, unit, standard unit of measurement (wd:P8111 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): unit in which a quantity is measured as recommended by a standard (SI, ISO, IEC, etc.)

[Assistant]
The property `geomorphological unit` (wd:P4688) seems to be the closest match for describing geological units. However, it is not specific to lithostratigraphic units. Let's try searching for "stratigraphic unit" to see if we can find a more specific property.

### Step 4: Search for properties related to "stratigraphic unit"
We will search for properties related to "stratigraphic unit" to find more specific properties.

[Tool]
Top 10 property alternatives:
1. geomorphological unit, also known as physiographic unit (wd:P4688 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): topographic or bathymetric feature to which this geographical item belongs, located in/on physical feature
2. Australian Stratigraphic Units Database ID (wd:P2367 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for a stratigraphic unit listed in the Australian Stratigraphic Units Database
3. fossil found in this unit (wd:P1137 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): fossils that are found in this stratigraphic unit
4. statistical unit, also known as describe items of type, statistical designation, unit (wd:P2353 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): member of a dataset; type of statistical designation
5. military unit, also known as member of military unit, unit (wd:P7779 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): smallest military unit that a person is/was in, member of
6. room number, also known as apartment, room identifier, suite, unit (wd:P7532 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): number or identifier of a room, which can qualify the address (P6375) of a place to complete it
7. recommended unit of measurement, also known as measured in, unit of measurement, unit, standard unit of measurement (wd:P8111 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): unit in which a quantity is measured as recommended by a standard (SI, ISO, IEC, etc.)
8. Australian Geological Provinces ID, also known as ASUD Province ID, Australian Geological Provinces Database Identifier, Australian Stratigraphic Units Database Province ID (wd:P2742 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier of a geologic province in the Australian Geological Provinces Database published by Geoscience Australia
9. e-Maapõu stratigraphy ID, also known as e-Maapõu stratigraphy identifier (wd:P9867 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for a stratigraphic unit or other rock body in Estonian geoscience portal e-Maapõu
10. type locality (geology), also known as (co)-type locality (wd:P2695 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the locality where a particular rock type, stratigraphic unit or... species is defined from (can coincide but not the same as p189)

[Assistant]
The property `Australian Stratigraphic Units Database ID` (wd:P2367) is specific to stratigraphic units, but it is limited to Australian data. We need a more general property that can apply to stratigraphic units globally.

Since we didn't find a direct property for "lithostratigraphic unit," we will use the property `geomorphological unit` (wd:P4688) and filter the results to find units that are specifically lithostratigraphic units.

### Step 5: List triples with Arizona as the subject and `geomorphological unit` as the property
We will list triples to see if there are any lithostratigraphic units associated with Arizona.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct triples linking Arizona to geomorphological units using the property `wdt:P4688`. This suggests that we might need to use a different approach to find the lithostratigraphic units in Arizona.

### Step 6: Search for lithostratigraphic units in Arizona
We will search for entities that are lithostratigraphic units and are located in Arizona. We will use the property `located in the administrative territorial entity` (wdt:P131) to find units located in Arizona.

First, let's search for the property `located in the administrative territorial entity`.

[Tool]
Top 10 property alternatives:
1. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): (list of) direct subdivisions of an administrative territorial entity, has part(s)
3. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
4. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
5. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with
6. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
7. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): seat of government of a country, province, state or other type of administrative territorial entity
8. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
9. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
10. contains the statistical territorial entity, also known as contains statistical territorial entity (wd:P10888 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): (list of) statistical territorial entities which are direct subd...ions of another statistical or administrative territorial entity, has part(s)

[Assistant]
The property `located in the administrative territorial entity` (wdt:P131) is the correct property to use for finding entities located in Arizona. We will now search for lithostratigraphic units that are located in Arizona using this property.

### Step 7: Find lithostratigraphic units located in Arizona
We will use the property `located in the administrative territorial entity` (wdt:P131) to find lithostratigraphic units located in Arizona. We will also include properties to find parts of these units, larger units they are part of, and their Geolex IDs if available.

Let's start with a basic query to find the lithostratigraphic units located in Arizona.

[Tool]
Got 4,892 rows and 1 column, showing the first 5 and last 5 rows below:
| ?unit                                      |
| ------------------------------------------ |
| Ignacio Quartzite (wd:Q100366128)          |
| McCracken Sandstone Member (wd:Q100366180) |
| Elbert Formation (wd:Q100366213)           |
| Tamarindo Rekordsz (wd:Q100585173)         |
| Arizonans (wd:Q100588108)                  |
| ...                                        |
| Queen Creek (wd:Q985299)                   |
| Cave Creek (wd:Q985310)                    |
| Buckeye (wd:Q986528)                       |
| West Water Formation (wd:Q98923927)        |
| Gila Bend (wd:Q991040)                     |

[Assistant]
The query returned a large number of results, including some that are not lithostratigraphic units. We need to filter the results to only include lithostratigraphic units. To do this, we will use the property `instance of` (wdt:P31) to filter for entities that are instances of lithostratigraphic units.

### Step 8: Filter for lithostratigraphic units
We will add a filter to the query to only include entities that are instances of lithostratigraphic units. We will also include properties to find parts of these units, larger units they are part of, and their Geolex IDs if available.

Let's start by identifying the IRI for "lithostratigraphic unit" and then refine the query.

[Tool]
Top 10 entity alternatives:
1. lithostratigraphic unit, also known as rock unit (wd:Q3550897): geologic unit denoting a specific body of rock based on its lithologic or stratigraphic characteristics
2. former lithostratigraphic unit (wd:Q109902873): lithostratigraphic unit that has been superseded by a different unit
3. sedimentary lithostratigraphic unit (wd:Q28021934)
4. 1, also known as unity, ١, unit one, unit, one (wd:Q199): natural number
5. unit of measurement, also known as measurement unit, unit, unit of measure (wd:Q47574): real scalar quantity, defined and adopted by convention, with wh...red to express the ratio of the two quantities as a number (VIM)
6. unit of measurement, also known as measurement unit, unit, unit of measure (wd:Q47574): real scalar quantity, defined and adopted by convention, with wh...red to express the ratio of the two quantities as a number (VIM)
7. apartment, also known as dwelling, flat, flats, unit (wd:Q188507): self-contained housing unit occupying part of a building
8. lithostratigraphy, also known as lithostratigraphic, lithostratigraphical (wd:Q856124): method of establishing stratigraphical units
9. division, also known as organizational branch, unit of an organization, unit, section of an organization, section (wd:Q334453): distinct and large part of an organization
10. unit, also known as invertible element (wd:Q118084): in mathematics, an invertible element or a unit in a ring R

[Assistant]
The correct entity for "lithostratigraphic unit" is `wd:Q3550897`. We will use this to filter the results to only include lithostratigraphic units.

### Step 9: Refine the query to include parts, larger units, and Geolex IDs
We will now refine the query to include the parts of the lithostratigraphic units, the larger units they are part of, and their Geolex IDs if available.

Here is the refined query:

```sparql
SELECT DISTINCT ?unit ?unitLabel ?partOf ?partOfLabel ?hasPart ?hasPartLabel ?geolexID
WHERE {
  ?unit wdt:P31 wd:Q3550897 .
  ?unit wdt:P131 wd:Q816 .
  OPTIONAL { ?unit wdt:P361 ?partOf . }
  OPTIONAL { ?unit wdt:P527 ?hasPart . }
  OPTIONAL { ?unit wdt:P2367 ?geolexID . }
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
```

However, since we cannot use the `SERVICE wikibase:label` clause, we will use `rdfs:label` to get the labels.

Let's execute the refined query.

[Tool] Got no rows and 7 columns

[Assistant]
It appears that the query did not return any results. This could be due to the lack of data linking lithostratigraphic units to Arizona or the specific properties we are using.

### Step 10: Simplify the query to find lithostratigraphic units in Arizona
Let's simplify the query to focus on finding lithostratigraphic units in Arizona and then gradually add the additional properties to see if we can get any results.

We will start with a simpler query to find lithostratigraphic units in Arizona and then add the additional properties step by step.

#### Step 10.1: Find lithostratigraphic units in Arizona
Let's start with a basic query to find lithostratigraphic units in Arizona.

[Tool] Got no rows and 2 columns

[Assistant]
The simplified query also did not return any results. This suggests that there might be a lack of data in Wikidata linking lithostratigraphic units to Arizona using the properties we are using.

### Step 11: Explore alternative approaches
Given that the direct approach did not yield results, we will explore alternative approaches to find lithostratigraphic units in Arizona. One approach is to search for entities that are lithostratigraphic units and then check if they are located in Arizona using a different property or method.

#### Step 11.1: Search for lithostratigraphic units
Let's search for entities that are instances of lithostratigraphic units and then check if they are located in Arizona using the property `located in the administrative territorial entity` (wdt:P131).

We will start by listing all lithostratigraphic units and then filter them to find those located in Arizona.

[Tool]
Got 21 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?unit                             | ?unitLabel         |
| --------------------------------- | ------------------ |
| Apex Chert (wd:Q10854294)         | Apex Chert         |
| Blue Granite (wd:Q110715941)      | Blue Granite       |
| Composite Gneiss (wd:Q110715947)  | Composite Gneiss   |
| Alpha Granite (wd:Q110716003)     | Alpha Granite      |
| Tropico Group (wd:Q123519690)     | Tropico Group      |
| ...                               | ...                |
| Outlet Tunnel unit (wd:Q61507845) | Outlet Tunnel unit |
| Shallow Creek unit (wd:Q61509083) | Shallow Creek unit |
| Willow Creek zone (wd:Q61509201)  | Willow Creek zone  |
| Windy Gulch zone (wd:Q61509323)   | Windy Gulch zone   |
| Cedar Canyon tuff (wd:Q61516021)  | Cedar Canyon tuff  |

[Assistant]
We have a list of lithostratigraphic units. Now, we will filter these units to find those that are located in Arizona using the property `located in the administrative territorial entity` (wdt:P131).

### Step 12: Filter lithostratigraphic units to find those located in Arizona
We will use the list of lithostratigraphic units and check if they are located in Arizona.

Here is the query to filter the units:

```sparql
SELECT DISTINCT ?unit ?unitLabel
WHERE {
  ?unit wdt:P31 wd:Q3550897 .
  ?unit wdt:P131 wd:Q816 .
  OPTIONAL { ?unit rdfs:label ?unitLabel . FILTER(LANG(?unitLabel) = 'en') }
}
```

Let's execute this query to see if we can find any lithostratigraphic units located in Arizona.

[Tool] Got no rows and 2 columns

[Assistant]
The query still did not return any results, indicating that there might be a lack of data in Wikidata linking lithostratigraphic units to Arizona using the properties we are using.

### Step 13: Explore alternative properties and methods
Given the lack of results, we will explore alternative properties and methods to find lithostratigraphic units in Arizona. One approach is to use the property `located in the present-day administrative territorial entity` (wdt:P3842) to see if it provides any results.

#### Step 13.1: Use `located in the present-day administrative territorial entity`
We will use the property `located in the present-day administrative territorial entity` (wdt:P3842) to find lithostratigraphic units located in Arizona.

Here is the query:

```sparql
SELECT DISTINCT ?unit ?unitLabel
WHERE {
  ?unit wdt:P31 wd:Q3550897 .
  ?unit wdt:P3842 wd:Q816 .
  OPTIONAL { ?unit rdfs:label ?unitLabel . FILTER(LANG(?unitLabel) = 'en') }
}
```

Let's execute this query to see if we can find any lithostratigraphic units located in Arizona using this property.

[Tool] Got no rows and 2 columns

[Assistant]
Using the property `located in the present-day administrative territorial entity` (wdt:P3842) also did not yield any results. This suggests that there might be a lack of data in Wikidata linking lithostratigraphic units to Arizona using the properties we have tried.

### Step 14: Consider external data sources
Given the lack of results from Wikidata, it might be necessary to consider external data sources or more specialized geological databases to find the lithostratigraphic units in Arizona. However, since we are limited to using Wikidata, we will provide our best attempt at a SPARQL query and explain why it did not yield the expected results.

### Final Answer
The following SPARQL query is our best attempt to find distinct lithostratigraphic units located in Arizona, including any parts they have, the larger units they are part of, and their Geolex IDs if available. However, the query did not return any results, indicating a lack of data in Wikidata for this specific query.

```sparql
SELECT DISTINCT ?unit ?unitLabel ?partOf ?partOfLabel ?hasPart ?hasPartLabel ?geolexID
WHERE {
  ?unit wdt:P31 wd:Q3550897 .
  ?unit wdt:P131 wd:Q816 .
  OPTIONAL { ?unit wdt:P361 ?partOf . }
  OPTIONAL { ?unit wdt:P527 ?hasPart . }
  OPTIONAL { ?unit wdt:P2367 ?geolexID . }
  OPTIONAL { ?unit rdfs:label ?unitLabel . FILTER(LANG(?unitLabel) = 'en') }
  OPTIONAL { ?partOf rdfs:label ?partOfLabel . FILTER(LANG(?partOfLabel) = 'en') }
  OPTIONAL { ?hasPart rdfs:label ?hasPartLabel . FILTER(LANG(?hasPartLabel) = 'en') }
}
```

### Explanation
The query did not return any results because there is a lack of data in Wikidata linking lithostratigraphic units to Arizona using the properties we have tried. This suggests that the information might be more readily available in specialized geological databases or other external sources.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?tournament ?country ?endTime ?location ?editionNumber ?pointInTime ?surface WHERE {
  ?tournament wdt:P361 wd:Q23039138 .
  OPTIONAL {
    ?tournament wdt:P17 ?country .
  }
  OPTIONAL {
    ?tournament wdt:P582 ?endTime .
  }
  OPTIONAL {
    ?tournament wdt:P276 ?location .
  }
  OPTIONAL {
    ?tournament wdt:P374 ?editionNumber .
  }
  OPTIONAL {
    ?tournament wdt:P585 ?pointInTime .
  }
  OPTIONAL {
    ?tournament wdt:P1079 ?surface .
  }
}
ORDER BY ASC ( ?endTime )

The SPARQL query retrieves the details of all tennis tournaments that were part of the 2018 ATP World Tour, including the tournament item, country, end time, location, edition number, point in time, and surface played on, sorted in ascending order by end time.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the details of all tennis tournaments that were part of the 2018 ATP World Tour? Please include the tournament item, country (if available), end time (if available), location (if available), edition number (if available), point in time (if available), and surface played on (if available), sorted in ascending order by end time.

[Assistant]
To answer this question, we need to identify the relevant entities and properties in the knowledge graph. We'll start by searching for the entity representing the 2018 ATP World Tour and then look for properties that can help us find the details of the tournaments associated with it.

First, let's search for the entity "2018 ATP World Tour".

[Tool]
Top 10 entity alternatives:
1. 2018 ATP World Tour (wd:Q23039138): tennis circuit
2. 2018 ATP World Tour Masters 1000 (wd:Q50063551): tennis tour
3. ATP Tour, also known as ATP World Tour (wd:Q300008): series of men's tennis tournaments
4. ATP Finals, also known as Tennis Masters Cup, ATP World Tour Finals (wd:Q270907): tier of annual men's tennis tournaments
5. ATP World Tour 250 series, also known as ATP World Tour 250, International Series Tournaments, International Series tennis tournaments, International Series events, ATP World Series (wd:Q300017): tennis tournament category
6. ATP World Tour 500 series, also known as ATP 500, ATP World Tour 500, ATP Masters 500, ATP Championship Series, Double-Week, ATP Championship Series (wd:Q300018): tennis tournament category since 2009
7. 2018 UCI World Tour (wd:Q42317185): cycling races
8. 2010 ATP World Tour, also known as 2010 atp tour (wd:Q300012): tennis circuit
9. 2011 ATP World Tour, also known as 2011 atp tour (wd:Q300013): men's tennis circuit
10. 2009 ATP World Tour, also known as Tennis 2009 Calendare ATP ITF, 2009 ATP Tour, Juego 2000 Calendar, 2009 atp tour, ATP Tour 2009 (wd:Q300011): tennis circuit

[Assistant]
The top result, "2018 ATP World Tour" (wd:Q23039138), seems to be the correct entity for our query. Next, we need to find the properties that link this entity to the individual tournaments. We can use the `list` function to explore the properties of this entity.

Let's list the triples where "2018 ATP World Tour" (wd:Q23039138) is the subject.

[Tool]
Got 83 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                           | object                                      |
| ---------------------------------- | -------------------------------------------------- | ------------------------------------------- |
| 2018 ATP World Tour (wd:Q23039138) | instance of (wdt:P31)                              | tennis tour edition (wd:Q47358534)          |
| 2018 ATP World Tour (wd:Q23039138) | sport (wdt:P641)                                   | tennis (wd:Q847)                            |
| 2018 ATP World Tour (wd:Q23039138) | point in time (wdt:P585)                           | 2018-01-01T00:00:00Z                        |
| 2018 ATP World Tour (wd:Q23039138) | topic's main category (wdt:P910)                   | wd:Q41205628                                |
| 2018 ATP World Tour (wd:Q23039138) | sports season of league or competition (wdt:P3450) | ATP Tour (wd:Q300008)                       |
| 2018 ATP World Tour (wd:Q23039138) | topic's main template (wdt:P1424)                  | wd:Q46995157                                |
| 2018 ATP World Tour (wd:Q23039138) | Google Knowledge Graph ID (wdtn:P2671)             | <http://g.co/kg/g/11clgfhqnp>               |
| 2018 ATP World Tour (wd:Q23039138) | schema:description                                 | "ATP-toernooikalender van het jaar 2018"@nl |
| 2018 ATP World Tour (wd:Q23039138) | schema:name                                        | 2018 ATP World Tour                         |
| 2018 ATP World Tour (wd:Q23039138) | rdf:type                                           | wikibase:Item                               |
| ...                                | ...                                                | ...                                         |

[Assistant]
From the listed triples, we can see that the property `sports season of league or competition` (wdt:P3450) links the 2018 ATP World Tour to the ATP Tour. However, we need to find the specific tournaments that were part of this tour.

We can try to find the property that links the 2018 ATP World Tour to the individual tournaments. One common property for such relationships is `part of` (wdt:P361). Let's check if this property is used for linking the 2018 ATP World Tour to its tournaments.

We will use the `list` function again to find the objects of the `part of` (wdt:P361) property where the subject is the 2018 ATP World Tour.

[Tool]
Got 39 rows and 3 columns, showing the first 10 rows below:
| subject                                              | property           | object                             |
| ---------------------------------------------------- | ------------------ | ---------------------------------- |
| 2018 Queen's Club Championships (wd:Q12299856)       | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Gerry Weber Open (wd:Q55029555)                 | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Monte-Carlo Rolex Masters (wd:Q29477409)        | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 ABN AMRO World Tennis Tournament (wd:Q47227238) | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Barcelona Open Banco Sabadell (wd:Q51851067)    | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 ATP Lyon Open (wd:Q53493411)                    | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 MercedesCup (wd:Q54783884)                      | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Qatar ExxonMobil Open (wd:Q44318591)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Tata Open Maharashtra (wd:Q44318733)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Diema Xtra Sofia Open (wd:Q47001464)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| ...                                                  | ...                | ...                                |

[Assistant]
The `part of` (wdt:P361) property is indeed used to link the 2018 ATP World Tour to its individual tournaments. Now, we need to gather the details of these tournaments, including the country, end time, location, edition number, point in time, and surface played on.

Let's construct a SPARQL query to retrieve these details. We will use optional clauses to handle cases where some of the information might not be available for certain tournaments.

Here is the initial SPARQL query:

```sparql
SELECT ?tournament ?country ?endTime ?location ?editionNumber ?pointInTime ?surface
WHERE {
  ?tournament wdt:P361 wd:Q23039138 .
  OPTIONAL { ?tournament wdt:P17 ?country . }
  OPTIONAL { ?tournament wdt:P582 ?endTime . }
  OPTIONAL { ?tournament wdt:P276 ?location . }
  OPTIONAL { ?tournament wdt:P374 ?editionNumber . }
  OPTIONAL { ?tournament wdt:P585 ?pointInTime . }
  OPTIONAL { ?tournament wdt:P1079 ?surface . }
}
ORDER BY ASC(?endTime)
```

Let's execute this query to see the results.

[Tool]
Got 39 rows and 7 columns, showing the first 5 and last 5 rows below:
| ?tournament                                                  | ?country             | ?endTime             | ?location                           | ?editionNumber | ?pointInTime         | ?surface |
| ------------------------------------------------------------ | -------------------- | -------------------- | ----------------------------------- | -------------- | -------------------- | -------- |
| 2018 Swedish Open (wd:Q55391498)                             | Sweden (wd:Q34)      |                      | Båstad Tennis Stadium (wd:Q5004953) |                | 2018-01-01T00:00:00Z |          |
| 2018 Tata Open Maharashtra (wd:Q44318733)                    | India (wd:Q668)      | 2018-01-06T00:00:00Z | Pune (wd:Q1538)                     |                | 2018-01-01T00:00:00Z |          |
| 2018 Brisbane International (men) (wd:Q46911399)             |                      | 2018-01-07T00:00:00Z |                                     |                | 2018-01-01T00:00:00Z |          |
| 2018 Qatar ExxonMobil Open (wd:Q44318591)                    | Qatar (wd:Q846)      | 2018-01-08T00:00:00Z | Doha (wd:Q3861)                     |                | 2018-01-01T00:00:00Z |          |
| 2018 Sydney International (men) (wd:Q46911599)               |                      | 2018-01-13T00:00:00Z |                                     |                | 2018-01-01T00:00:00Z |          |
| ...                                                          | ...                  | ...                  | ...                                 | ...            | ...                  | ...      |
| 2018 China Open (men) (wd:Q56819344)                         |                      | 2018-10-07T00:00:00Z |                                     |                | 2018-01-01T00:00:00Z |          |
| 2018 Stockholm Open (wd:Q57171456)                           | Sweden (wd:Q34)      | 2018-10-21T00:00:00Z | Royal Tennis Hall (wd:Q3369172)     |                | 2018-10-01T00:00:00Z |          |
| 2018 Kremlin Cup (men) (wd:Q57314287)                        |                      | 2018-10-21T00:00:00Z |                                     |                |                      |          |
| 2018 Swiss Indoors (wd:Q57339856)                            | Switzerland (wd:Q39) | 2018-10-28T00:00:00Z | St. Jakobshalle (wd:Q2318930)       |                | 2018-01-01T00:00:00Z |          |
| 2018 Oracle Challenger Series – Houston – Men (wd:Q59994545) |                      | 2018-11-18T00:00:00Z |                                     |                |                      |          |

[Assistant]
The SPARQL query has successfully retrieved the details of the tournaments that were part of the 2018 ATP World Tour, including the tournament item, country, end time, location, edition number, point in time, and surface played on. The results are sorted in ascending order by end time.

However, we notice that some of the optional fields (like country, location, edition number, and surface) are missing for some tournaments. This is expected since not all tournaments have complete data in the knowledge graph.

Here is the final SPARQL query and the answer to the user's question:

```sparql
SELECT ?tournament ?country ?endTime ?location ?editionNumber ?pointInTime ?surface
WHERE {
  ?tournament wdt:P361 wd:Q23039138 .
  OPTIONAL { ?tournament wdt:P17 ?country . }
  OPTIONAL { ?tournament wdt:P582 ?endTime . }
  OPTIONAL { ?tournament wdt:P276 ?location . }
  OPTIONAL { ?tournament wdt:P374 ?editionNumber . }
  OPTIONAL { ?tournament wdt:P585 ?pointInTime . }
  OPTIONAL { ?tournament wdt:P1079 ?surface . }
}
ORDER BY ASC(?endTime)
```

The answer to the user's question is the result of the above SPARQL query.

[Tool] Stopped generation process